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Persistent memory for AI coding agents
Open-source MCP server. #5 on LoCoMo. 100% local. MIT.
Your AI coding assistant forgets everything between sessions. total-agent-memory fixes that — an open-source MCP server that gives Claude Code, Cursor, Codex, Cline (anything MCP) a persistent brain. 32 tools. Local SQLite. 96.2% on LongMemEval R@5. One-command install.
Hey Product Hunt 👋 — Vitalii here, maker of total-agent-memory.
Short version: it's an open-source persistent memory layer for AI coding agents. MIT, Go, runs locally on SQLite + Postgres.
Why I built it: every long Claude Code or Cursor session hits the same wall — context evaporates across sub-agents, decisions get forgotten, the agent re-asks things it knew an hour ago. Existing memory products (Mem0, Letta, Zep) are designed for chat assistants — they retrieve over conversational history. Coding agents have a different recall pattern: exact symbol/file names, fuzzy near-misses, semantic intent, all at once.
So I built a 4-tier hybrid retriever:
FTS5 / BM25 — lexical precision
Trigram fuzzy — typo and near-miss tolerance
pgvector + BAAI embeddings — dense semantic
Cross-encoder rerank — final best-of-N
Benchmark: 97.45% R@5 on LongMemEval (the strongest public memory benchmark). Methodology is reproducible from the repo.
What's there today: MCP server, drop-in for Claude Code, self-hostable, no SaaS. Free, open source, no signup.
Roadmap: managed/hosted tier for teams who don't want to run Postgres themselves, enterprise support, deeper Cursor integration.
Big thanks to @anthropic / Claude Code, @cursor, and @supabase — products this is built on top of and around.
Would love your feedback — especially from anyone running long-horizon coding agent sessions. What breaks for you? Where does memory fail today?
About Persistent memory for AI coding agents on Product Hunt
“Open-source MCP server. #5 on LoCoMo. 100% local. MIT.”
Persistent memory for AI coding agents was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #153 on the daily leaderboard. Your AI coding assistant forgets everything between sessions. total-agent-memory fixes that — an open-source MCP server that gives Claude Code, Cursor, Codex, Cline (anything MCP) a persistent brain. 32 tools. Local SQLite. 96.2% on LongMemEval R@5. One-command install.
On the analytics side, Persistent memory for AI coding agents competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Persistent memory for AI coding agents performed against the three products that launched closest to it on the same day.
Who hunted Persistent memory for AI coding agents?
Persistent memory for AI coding agents was hunted by Vitalii Cherepanov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Persistent memory for AI coding agents including community comment highlights and product details, visit the product overview.
Vitalii Cherepanov